Analysis of cotton ring spun yarn diameter using regression and artificial neural network

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dc.contributor.authorUnal, Pelin Gurkan
dc.contributor.authorOzdil, Nilgun
dc.date.accessioned2019-10-27T22:29:03Z
dc.date.available2019-10-27T22:29:03Z
dc.date.issued2015
dc.departmentEge Üniversitesien_US
dc.description.abstractYarn diameter is one of the most important properties that influence several properties of end products like cover factor, appearance and handle properties of the fabrics. In this study, it was aimed to analyse yarn diameter of cotton ring spun yarns with regard to the cotton fibre properties by using regression and artificial neural network models. Obtained equations and networks also compared with the yarn diameter of cotton ring spun yarns, which was developed by Peirce (1937). The results show that obtained regression equation gives good estimation of yarn diameter compared to Peirce's equation.en_US
dc.identifier.endpage321en_US
dc.identifier.issn1222-5347
dc.identifier.issn1222-5347en_US
dc.identifier.issue6en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage317en_US
dc.identifier.urihttps://hdl.handle.net/11454/51033
dc.identifier.volume66en_US
dc.identifier.wosWOS:000368320000001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInst Natl Cercetare-Dezvoltare Textile Pielarie-Bucurestien_US
dc.relation.ispartofIndustria Textilaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcotton ring spun yarnsen_US
dc.subjectyarn diameteren_US
dc.subjectregressionen_US
dc.subjectartificial neural networken_US
dc.titleAnalysis of cotton ring spun yarn diameter using regression and artificial neural networken_US
dc.typeArticleen_US

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